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- Tasks: Develop AI solutions for integrating SaaS tools and automating complex workflows.
- Company: Dynamic startup with experienced founders and a strong team culture.
- Benefits: Competitive salary up to £100,000, flexible remote work, and opportunities for international travel.
- Other info: Collaborative culture focused on experimentation and growth.
- Why this job: Join a cutting-edge team and tackle real-world AI challenges in a supportive environment.
- Qualifications: Experience with LLMs and a passion for innovative tech solutions.
The predicted salary is between 90000 - 100000 £ per year.
You've been watching the AI infrastructure space for a while. Some of what's being built is vapour, some of it isn't. What does the difference look like? An integration platform that's making AI agents actually useful — connecting the tools businesses run on so that the AI can do the work without a human holding the pieces together. Series A, growing ARR, and hiring.
If you want to work with experienced founders, a strong team who've been through it before, and the technical freedom to experiment — read on.
Some signs a startup is standing on solid ground:
- Paying enterprise customers — not just pilots
- Clear vision for what they're building and who it's for
- Founders who've done it before
- A team that's careful with their hires — culture over headcount
- Room to experiment: turning ideas into experiments has already unlocked a new revenue stream
This is the role. You'll be working on the AI layer of an integration platform — automating how SaaS tools talk to each other using LLMs, building tools that help agents reason about complex API workflows, and shipping features that handle the messiness of real-world enterprise data. TypeScript, Python, Langsmith, Modal, AWS. You bring the experience with LLMs in production; they'll give you the scale and the problems worth solving.
FAQs:
- What does it pay? Up to £100,000 on the base
- Can I work remotely? London office, two days a week. If you're in the UK and London is a stretch for a commute, get in touch anyway — they flex.
- Weeks working abroad? Achievable.
- What will I actually be working on? LLM orchestration, AI agent reasoning over complex API workflows, building the tools that make enterprise integrations intelligent. Think: how do you give an AI agent enough context to handle a messy, multi-step API workflow without a human babysitting it?
If you read this far and you'd like your CV reviewed by a human, email mark@seekr.inc with "Don't burst my bubble" in the subject line. A couple of lines on why you think this might be a good fit — that's all.
AI Engineer employer: SEEKR
Contact Detail:
SEEKR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and API workflows. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and real-world problem-solving scenarios. Practice explaining your thought process clearly — it’s all about showing how you tackle challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Engineer. Highlight your experience with LLMs, TypeScript, and Python, and don’t forget to mention any relevant projects that showcase your skills in automating SaaS tools.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this opportunity. Share your thoughts on the AI infrastructure space and how your background aligns with our vision. A personal touch goes a long way!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex API workflows or similar challenges. We love seeing how you approach real-world problems and turn them into innovative solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at SEEKR
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and how they integrate with SaaS tools. Be ready to discuss specific projects you've worked on that involved AI, especially those that required reasoning over complex API workflows.
✨Show Your Problem-Solving Skills
Prepare to share examples of how you've tackled messy data challenges in the past. Think about how you can demonstrate your ability to turn ideas into experiments and how that has led to successful outcomes.
✨Understand the Company’s Vision
Research the company’s goals and the market they operate in. Be prepared to articulate how your skills align with their vision for building an integration platform that makes AI agents useful.
✨Ask Smart Questions
Come equipped with thoughtful questions about their tech stack, team culture, and future projects. This shows you're genuinely interested and helps you gauge if it's the right fit for you.